163 lines
6.7 KiB
Matlab
163 lines
6.7 KiB
Matlab
idx = 1;
|
|
compiled_results = results_all{idx}.results;
|
|
options.skipSaveFigures = false;
|
|
|
|
%% ------------------ 1. Mean ± Std Plots ------------------
|
|
% Plot Radial Spectral Contrast
|
|
Plotter.plotMeanWithSE(scan_parameter_values, compiled_results.spectral_analysis_results.radial_spectral_contrast, ...
|
|
'Title', options.titleString, ...
|
|
'XLabel', 'B (G)', ...
|
|
'YLabel', 'Radial Spectral Contrast', ...
|
|
'FigNum', 1, ...
|
|
'FontName', options.font, ...
|
|
'SaveFileName', 'RadialSpectralContrast.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'SkipSaveFigures', options.skipSaveFigures);
|
|
|
|
% Plot Angular Spectral Weight
|
|
Plotter.plotMeanWithSE(scan_parameter_values, compiled_results.spectral_analysis_results.angular_spectral_weight, ...
|
|
'Title', options.titleString, ...
|
|
'XLabel', 'B (G)', ...
|
|
'YLabel', 'Angular Spectral Weight', ...
|
|
'FigNum', 2, ...
|
|
'FontName', options.font, ...
|
|
'SaveFileName', 'AngularSpectralWeight.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'SkipSaveFigures', options.skipSaveFigures);
|
|
|
|
% Plot Peak Offset Angular Correlation
|
|
Plotter.plotMeanWithSE(options.scan_reference_values, compiled_results.custom_g_results.max_g2_all_per_scan_parameter_value, ...
|
|
'Title', options.titleString, ...
|
|
'XLabel', 'B (G)', ...
|
|
'YLabel', '$\mathrm{max}[g^{(2)}_{[50,70]}(\delta\theta)]$', ...
|
|
'FigNum', 3, ...
|
|
'YLim', [0 1], ...
|
|
'FontName', options.font, ...
|
|
'SaveFileName', 'PeakOffsetAngularCorrelation.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'SkipSaveFigures', options.skipSaveFigures);
|
|
|
|
%% ------------------ 2. g²(θ) across transition ------------------
|
|
Plotter.plotG2(compiled_results.full_g2_results.g2_all, ...
|
|
compiled_results.full_g2_results.g2_error_all, ...
|
|
compiled_results.full_g2_results.theta_values, ...
|
|
options.scan_reference_values, ...
|
|
'rot_mag_field', ...
|
|
'Title', options.titleString, ...
|
|
'XLabel', '$\delta\theta / \pi$', ...
|
|
'YLabel', '$g^{(2)}(\delta\theta)$', ...
|
|
'FigNum', 4, ...
|
|
'FontName', options.font, ...
|
|
'SkipSaveFigures', options.skipSaveFigures, ...
|
|
'SaveFileName', 'G2ThetaAcrossTransition.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'Colormap', @Colormaps.coolwarm);
|
|
|
|
%% ------------------ 3. PDF of max g² across transition ------------------
|
|
Plotter.plotPDF(compiled_results.custom_g_results.max_g2_all_per_scan_parameter_value, options.scan_reference_values, ...
|
|
'Title', options.titleString, ...
|
|
'XLabel', 'B (G)', ...
|
|
'YLabel', '$\mathrm{max}[g^{(2)}]$', ...
|
|
'FigNum', 5, ...
|
|
'FontName', options.font, ...
|
|
'SkipSaveFigures', options.skipSaveFigures, ...
|
|
'SaveFileName', 'PDF_MaxG2AcrossTransition.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'NumPoints', 200, ...
|
|
'DataRange', [0 1.5], ...
|
|
'Colormap', @Colormaps.coolwarm, ...
|
|
'XLim', [min(options.scan_reference_values) max(options.scan_reference_values)]);
|
|
|
|
|
|
%% ------------------ 4. Cumulants across transition ------------------
|
|
Plotter.plotCumulants(options.scan_reference_values, ...
|
|
{compiled_results.custom_g_results.mean_max_g2, compiled_results.custom_g_results.var_max_g2, compiled_results.custom_g_results.skew_max_g2_angle, compiled_results.custom_g_results.fourth_order_cumulant_max_g2}, ...
|
|
'Title', 'Cumulants of Peak Offset Angular Correlation', ...
|
|
'XLabel', 'B (G)', ...
|
|
'FigNum', 6, ...
|
|
'FontName', options.font, ...
|
|
'MarkerSize', 6, ...
|
|
'LineWidth', 1.5, ...
|
|
'SkipSaveFigures', options.skipSaveFigures, ...
|
|
'SaveFileName', 'CumulantOfPeakOffsetAngularCorrelation.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results']);
|
|
%{
|
|
|
|
%% ------------------ 6. Average of Spectra Plots ------------------
|
|
|
|
Plotter.plotAverageSpectra(scan_parameter_values, ...
|
|
spectral_analysis_results, ...
|
|
'ScanParameterName', scan_parameter, ...
|
|
'FigNum', 7, ...
|
|
'ColormapPS', Colormaps.coolwarm(), ...
|
|
'Font', 'Bahnschrift', ...
|
|
'SaveFileName', 'avgSpectra.fig', ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'SkipSaveFigures', options.skipSaveFigures);
|
|
|
|
%% ------------------ 7. Compare quantities ------------------
|
|
% Load Droplets → Stripes data
|
|
Data = load(dtsFile, ...
|
|
'unique_scan_parameter_values', ...
|
|
'mean_max_g2_values', ...
|
|
'std_error_g2_values');
|
|
dts_scan_parameter_values = Data.unique_scan_parameter_values;
|
|
dts_mean_mg2 = Data.mean_max_g2_values;
|
|
dts_stderr_mg2 = Data.std_error_g2_values;
|
|
|
|
% Load Stripes → Droplets data
|
|
Data = load(stdFile, ...
|
|
'unique_scan_parameter_values', ...
|
|
'mean_max_g2_values', ...
|
|
'std_error_g2_values');
|
|
std_scan_parameter_values = Data.unique_scan_parameter_values;
|
|
std_mean_mg2 = Data.mean_max_g2_values;
|
|
std_stderr_mg2 = Data.std_error_g2_values;
|
|
|
|
% Prepare cell arrays for multiple datasets
|
|
scanValsCell = {dts_scan_parameter_values, std_scan_parameter_values};
|
|
meanValsCell = {dts_mean_mg2, std_mean_mg2};
|
|
stderrValsCell = {dts_stderr_mg2, std_stderr_mg2};
|
|
|
|
% Compare datasets
|
|
compareMultipleDatasets(scanValsCell, meanValsCell, stderrValsCell, ...
|
|
'FigNum', 8, ...
|
|
'FontName', 'Bahnschrift', ...
|
|
'MarkerSize', 6, ...
|
|
'LineWidth', 1.5, ...
|
|
'CapSize', 5, ...
|
|
'YLim', [0 1], ...
|
|
'Labels', {'Droplets → Stripes', 'Stripes → Droplets'}, ...
|
|
'Title', 'AngularCorrelation_Comparison', ...
|
|
'XLabel', 'B (G)', ...
|
|
'YLabel', '$\mathrm{max}[g^{(2)}_{[50,70]}(\delta\theta)]$', ...
|
|
'SkipSaveFigures', options.skipSaveFigures, ...
|
|
'SaveDirectory', [options.saveDirectory '/Results'], ...
|
|
'SaveFileName', 'AngularCorrelation_Comparison.fig');
|
|
|
|
%% ------------------ 8. Heatmaps ------------------
|
|
|
|
BFields = [2.35, 2.15, 2.0, 1.85, 1.7, 1.55, 1.4, 1.35];
|
|
|
|
% Heatmap of mean_max_g2_values
|
|
Plotter.plotHeatmap(compiled_results, options.scan_groups, BFields, 'mean_max_g2_values', ...
|
|
'Colormap', @sky, ...
|
|
'CLim', [0 1], ...
|
|
'XLabel', '\alpha (degrees)', ...
|
|
'YLabel', 'BField (G)', ...
|
|
'Title', '$\mathrm{max}[g^{(2)}_{[50,70]}(\delta\theta)]$', ...
|
|
'FigNum', 9, ...
|
|
'SaveFileName', 'Heatmap_MaxG2.fig', ...
|
|
'SaveDirectory', options.resultsDir);
|
|
|
|
% Heatmap of radial_spectral_contrast
|
|
Plotter.plotHeatmap(compiled_results, options.scan_groups, BFields, 'radial_spectral_contrast', ...
|
|
'Colormap', @sky, ...
|
|
'CLim', [0 0.008], ...
|
|
'XLabel', '\alpha (degrees)', ...
|
|
'YLabel', 'BField (G)', ...
|
|
'Title', 'Radial Spectral Contrast', ...
|
|
'FigNum', 10, ...
|
|
'SaveFileName', 'Heatmap_RadialSpectralContrast.fig', ...
|
|
'SaveDirectory', options.resultsDir);
|
|
%} |